Codebook

Equity, diversity, and inclusion in the PsychoPy community

Codebook

Codebook table

Major R packages used

Package	Version	Citation
codebook	0.9.2	Arslan (2019)
grateful	0.1.11	Rodríguez-Sánchez et al. (2022)
knitr	1.42	Xie (2014); Xie (2015); Xie (2023)
remotes	2.4.2	Csárdi et al. (2021)

References

Arslan, R. C. (2019). How to automatically document data with the codebook package to facilitate data re-use. Advances in Methods and Practices in Psychological Science, 2(2). https://doi.org/10.1177/2515245919838783

Csárdi, G., Hester, J., Wickham, H., Chang, W., Morgan, M., & Tenenbaum, D. (2021). Remotes: R package installation from remote repositories, including ’GitHub’. https://CRAN.R-project.org/package=remotes

Rodríguez-Sánchez, F., Jackson, C. P., & Hutchins, S. D. (2022). Grateful: Facilitate citation of r packages. https://github.com/Pakillo/grateful

Xie, Y. (2014). Knitr: A comprehensive tool for reproducible research in R. In V. Stodden, F. Leisch, & R. D. Peng (Eds.), Implementing reproducible computational research. Chapman; Hall/CRC.

Xie, Y. (2015). Dynamic documents with R and knitr (2nd ed.). Chapman; Hall/CRC. https://yihui.org/knitr/

Xie, Y. (2023). Knitr: A general-purpose package for dynamic report generation in r. https://yihui.org/knitr/